Validation of a Qualification Procedure Applied to the Verification of Partial Discharge Analysers Used for HVDC or HVAC Networks
, Christian Mier 4, Fernando Álvarez 1, Kari Lahti 5, Abderrahim Khamlichi 1,2, Alf-Peter Elg 3, Armando Rodrigo Mor 6, Eduardo Arcones 1, Álvaro Camuñas 1, Pertti Pakonen 5, Javier Ortego 1,7, José Ramón Vidal 2, Miran Haider 3, Jorge Rovira 2, Pascual Simon 2 and Antonio Squicciarini 1,*
Round 1
Reviewer 1 Report
Overall, the paper titled "Validation of a Qualification Procedure of Diagnostic Tools of PD Analysers working up to 30 MHz used for the Insulation Condition Determination of HVDC or HVAC Grids" presents a well-structured layout and addresses significant issues in the field. The article successfully introduces three functionality tests crucial for PD diagnosis: the PD recognition test, PD clustering test, and PD location test.
The reviewer has some comments/questions:
- What criteria and methods were used to select the reference event trains for AC and DC systems?
- The authors should provide more details about the AI algorithms that are used in the experiments, specifically for clustering, processing, and recognition purposes.
Author Response
The authors attach a Word document with the answers for the three reviewers with a point-by-point response.
Author Response File: 
Author Response.docx
Reviewer 2 Report
The article “Validation of a Qualification Procedure of Diagnostic Tools of 3 PD Analysers working up to 30 MHz used for the Insulation 4 Condition Determination of HVDC or HVAC Grids” by Carlos Vera et al. compiled the experiences of using PD analyzers with HFCT sensors in HVAC grids (cable systems, GIS and AIS) to define a qualification procedure for HVAC systems. This procedure is applicable to HVDC grids (cable systems, GIS, AIS and converters) because the particularities related to the insulation behavior under HVDC voltage are also considered. I think this paper can be accepted after addressing the following issues;
1. Title should be short and without abbreviation except for special words
2. Please discuss the novelty of this work in the introduction part
3. The introduction is very short. I think the introduction can be improved and authors need to cite recently published articles such as https://doi.org/10.1016/j.epsr.2012.08.016
https://doi.org/10.1016/j.epsr.2023.109287 http://dx.doi.org/10.1002/inf2.12370 https://doi.org/10.1016/j.jclepro.2020.125465
4. I did not see any reference for Eq 1,2,3
5. Figure 3 is unclear. The reader cannot see it.
English: Almost fine
Author Response
The authors attach a Word document with the answers for the three reviewers with a point-by-point response.
Author Response File: Author Response.docx
Reviewer 3 Report
The paper presents the study about validation of a qualification procedure of diagnostic tools of PD analyzers working up to 30 MHz used for the insulation condition determination of HVDC or HVAC grids. Authors say, that insulation condition of HVDC grids should be monitored by partial discharge analyzers using AI tools. They say, that there are no standardized requirements for their qualification available yet. This paper describes experiences of using PD analyzers to define a qualification procedure for HVAC systems. Two PD methods for electrical detection and prevention of insulation defects have been approved, one for HVAC and other for HVDC grids.
Dear author, thank you very much for interesting paper about standardization of PD analyzer to use in electric power devices. I put some comments and question.
Comments:
1. relatively short introduction chapter is well organized. Anyway, I would expect some more information about negative impact of PD on high voltage devices. Please consider.
2. next chapter presents description of the qualification procedure of PD analyzers which is used for the insulation condition of HV grids. There are many interesting and comparable information, which was results of study of many investigations. Authors included also AI as a tool which can be used in diagnostics.
3. paper considers all spectra of PD, such as electric, thermal and acoustic information, what is very value.
4. authors did not describe any negative results of IA application in PD diagnostics, such as mistake of defect recognition, accuracy etc. could you complete this information.
Author Response
The authors attach a Word document with the answers for the three reviewers with a point-by-point response.
Author Response File: Author Response.docx
